{"id":128659,"url":"https://alion.io/job/cloudwick-technologies-senior-genai-engineer","title":"Senior GenAI Engineer","company":{"id":6418,"name":"Cloudwick Technologies","domain":"cloudwick.com","url":"https://alion.io/company/cloudwick-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-27T04:51:08Z","employer_posted_date":null,"last_verified_at":"2026-08-27T04:51:08Z","board_verified":false,"closed_at":null,"days_open":52,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":52},"description":"We're hiring a Senior AI Engineer, AI Solutions to help design, build, and deliver AI solutions on AWS. This is a hands-on role for an engineer who likes working across the full arc of a project: early experimentation, customer conversations, shipping, and improving things once they're live. You'll work closely with customers, product, and engineering to build AI-enabled products that solve real business problems.\nThis role spans early experimentation, customer delivery, and production engineering. We're looking for someone who can prototype quickly, learn from real customer use, and help mature the right ideas into reliable product capabilities. This is also a high-ownership role where you should be comfortable operating with a fair amount of autonomy, making sound technical calls, and getting from a vague problem statement to a working system without needing a lot of structure around you.\nResponsibilities:\nWork with customers, product, and internal teams to understand business problems and turn them into useful AI applications.\nJoin customer-facing technical discussions, discovery sessions, demos, and solution design conversations.\nHelp shape pilots and proofs of concept, then decide what should be hardened into reusable product functionality.\nDesign, build, test, and maintain backend applications and AI workflows using Python and AWS.\nBuild and improve systems such as RAG pipelines, agentic workflows with tooling baked in, orchestration workflows, document-processing flows, and agent-backed application services.\nMake thoughtful tradeoffs around performance, cost, reliability, and speed of delivery.\nContribute to architecture and design decisions with an eye toward systems that are modular, easy to extend, and practical to operate.\nPrototype quickly, evaluate new tools and frameworks, and separate what is genuinely useful from what is just new.\nHelp define how we monitor, evaluate, and improve AI systems in production over time.\nWork closely with offshore teams and collaborate effectively across time zones.\nTake part in code reviews, design discussions, and technical planning, and help raise the bar on engineering quality across the team.\nWrite clear technical documentation for both internal teams and customer-facing use.\nRequirements:\n6+ years of experience building production software systems.\nStrong Python skills and experience building backend or cloud-native applications.\nHands-on experience building AI-enabled applications using LLMs, retrieval, automation, or orchestration patterns.\nExperience working with AWS and building cloud-native applications and APIs.\nGood software design instincts, especially around building systems that scale and don't become painful to maintain.\nExperience shipping production-quality software with solid testing, debugging, and code review habits.\nFamiliarity with modern data platform concepts such as ingestion pipelines, metadata, governance, access controls, and working with structured, semi-structured and unstructured data at scale.\nAbility to move between quick prototyping and production work without losing sight of what matters.\nStrong communication skills and comfort working directly with customers to gather feedback, clarify requirements, and turn those into implementation plans.\nComfort working in a fast-moving environment with a lot of ownership and some ambiguity.\nExperience collaborating with distributed teams across time 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